It means 949 downregulated genes and 1519 upregulated genes b/w G2-G3 comparison. Am I right? And in topTags(qlf) Which are differentially expressed genes? On what basis should I consider them as differentially expressed?

I have a doubt. With the same data I used limma, Glimma and edgeR for Differential expression (http://combine-australia.github.io/RNAseq-R/06-rnaseq-day1.html) But with the same comparison I found only one differentially expressed gene. In this process data will be transformed into Voom. Is it because of that? From few days back I'm trying in this way but couldn't find more than 1 differentially expressed gene.

But now I used edgeR which is mentioned in tutorial from feature counts. I used above code and got more than 1000 DE genes.